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FLOW VISUALIZATION.

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Bibliographic Details
Title: FLOW VISUALIZATION.
Authors: Silver, D.1, Post, F. H.2, Sadarjoen, I. A.2
Source: Encyclopedia of Electrical & Electronics Engineering. 1999 1st Edition, Vol. 7, p640-652. 13p.
Subjects: Flow visualization, Fluid dynamics, Visual perception, Industrial arts, Bessel functions, Equations
Abstract: The article presents information on flow visualization. Visualization has become an essential part of scientific and engineering practice to help analyze the massive data fields being generated from supercomputer simulations and laboratory observations. Physical models often cannot be solved analytically. Thus, discrete methods such as finite-element, finite-difference, or finite-volume methods are often used to numerically solve systems of partial differential equations. These methods are based on defining a computational grid. Approximate equations are specified, resulting in a system of equations that can be solved numerically at each grid node.
Database: Engineering Source
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  Data: FLOW VISUALIZATION.
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  Data: <searchLink fieldCode="JN" term="%22Encyclopedia+of+Electrical+%26+Electronics+Engineering%22">Encyclopedia of Electrical & Electronics Engineering</searchLink>. 1999 1st Edition, Vol. 7, p640-652. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Flow+visualization%22">Flow visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+dynamics%22">Fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+arts%22">Industrial arts</searchLink><br /><searchLink fieldCode="DE" term="%22Bessel+functions%22">Bessel functions</searchLink><br /><searchLink fieldCode="DE" term="%22Equations%22">Equations</searchLink>
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  Data: The article presents information on flow visualization. Visualization has become an essential part of scientific and engineering practice to help analyze the massive data fields being generated from supercomputer simulations and laboratory observations. Physical models often cannot be solved analytically. Thus, discrete methods such as finite-element, finite-difference, or finite-volume methods are often used to numerically solve systems of partial differential equations. These methods are based on defining a computational grid. Approximate equations are specified, resulting in a system of equations that can be solved numerically at each grid node.
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        Text: English
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        PageCount: 13
        StartPage: 640
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      – SubjectFull: Flow visualization
        Type: general
      – SubjectFull: Fluid dynamics
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      – SubjectFull: Visual perception
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      – SubjectFull: Industrial arts
        Type: general
      – SubjectFull: Bessel functions
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      – SubjectFull: Equations
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            NameFull: Post, F. H.
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              Text: 1999 1st Edition
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              Y: 1999
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